Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size.
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The use of biostatistical techniques in molecular biology has grown tremendously in recent years and is now essential for the correct interpretation of a wide variety of laboratory studies. In Biostatistical Methods, a panel of leading biostatisticians and biomedical researchers describe all the key techniques used to solve commonly occurring analytical problems in molecular biology, and demonstrate how these methods can identify new markers for exposure to a risk factor, or for determining disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, determining new disease biomarkers, and designing studies with adequate levels of statistical power. In the case of genetic effects in human populations, the authors describe sophisticated statistical methods to control the overall false-positive rate when many statistical tests are used in linking particular alleles to the occurrence of disease. Other methods discussed are those used to validate statistical approaches for analyzing the E-D association, to study the associations between disease and the inheritance of particular genetic variants, and to examine real data sets. There are also useful recommendations for statistical and data management software (JAVA, Oracle, S-Plus, STATA, and SAS) . <br> Accessible, state-of-the-art, and highly practical, Biostatistical Methods provides an excellent starting point both for statisticians just beginning work on problems in molecular biology, and for all molecular biologists who want to use biostatistics in genetics research designed to uncover the causes and treatments of disease.
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Da: HPB-Red, Dallas, TX, U.S.A.
Hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or limited writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_406787833
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Da: G. & J. CHESTERS, TAMWORTH, Regno Unito
Hardcover. Condizione: Fine. pp.xii, 215 pages, a Fine hardback with laminated boards so no dust-jacket issued [089603951X]. Codice articolo 143849
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Da: Sonnets And Symphonies, Bristol, Regno Unito
Hardcover. Condizione: Very Good. Image shows actual book for sale. Book Condition: Very Good; firm binding; contents very good. No Dust Jacket. Hard Cover Humana Press 2001 Mathematics. Codice articolo 110928
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Condizione: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:089603951X. Codice articolo 9641678
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Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-V-002-02420
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Da: Tiber Books, Cockeysville, MD, U.S.A.
Hardcover. Condizione: Very Good. 8vo, hardcover. No dj. Vg+ condition. Prev. owner's name-labels neatly removed from inside cover; contents bright, crisp & clean, unread. xii, 214 p., illus. (some color). Codice articolo 1080809.46
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